Triple

T7459917
Position Surface form Disambiguated ID Type / Status
Subject Capital Wheel at National Harbor E176217 entity
Predicate hasExperienceType P22109 FINISHED
Object family-friendly attraction LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: family-friendly attraction | Statement: [Capital Wheel at National Harbor, hasExperienceType, family-friendly attraction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasExperienceType
Context triple: [Capital Wheel at National Harbor, hasExperienceType, family-friendly attraction]
  • A. experienceType chosen
    Indicates the specific kind or category of experience associated with an entity or event.
  • B. typeOfExperience
    Indicates that one entity specifies the category or nature of an experience associated with another entity.
  • C. hasGlobalExperience
    Indicates that an entity possesses experience gained from working, operating, or engaging across multiple countries or international contexts.
  • D. settingOfExperience
    Indicates that a particular context, environment, or situation serves as the backdrop or circumstances in which an experience occurs.
  • E. experienceIncludes
    Indicates that a particular experience encompasses, contains, or involves a specified component, activity, or element as part of it.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d525708190b7838e07ac2fbe1f completed March 27, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69c6f03bad9c8190bdd5abb86d37df47 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:38 p.m.